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A Comparison of Federation over SPARQL Endpoints Frameworks

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Knowledge Engineering and the Semantic Web (KESW 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 394))

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Abstract

The increasing amount of Linked Data and its inherent distributed nature have attracted significant attention throughout the research community and amongst practitioners to search data, in the past years. Inspired by research results from traditional distributed databases, different approaches for managing federation over SPARQL Endpoints have been introduced. SPARQL is the standardised query language for RDF, the default data model used in Linked Data deployments and SPARQL Endpoints are a popular access mechanism provided by many Linked Open Data (LOD) repositories. In this paper, we initially give an overview of the federation framework infrastructure and then proceed with a comparison of existing SPARQL federation frameworks. Finally, we highlight shortcomings in existing frameworks, which we hope helps spawning new research directions.

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Author information

Authors and Affiliations

  1. Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland

    Nur Aini Rakhmawati, Jürgen Umbrich, Marcel Karnstedt, Ali Hasnain & Michael Hausenblas

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  1. Nur Aini Rakhmawati
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  2. Jürgen Umbrich
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  3. Marcel Karnstedt
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  4. Ali Hasnain
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  5. Michael Hausenblas
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Editors and Affiliations

  1. Institute of Artificial Intelligence, University of Ulm, 89069, Ulm, Germany

    Pavel Klinov

  2. Intelligence Systems Laboratory, Saint Petersburg National Research University of Information Technologies, Mechanics and Optics, Kronverksky prospekt 49, office 380,, 197101, St. Petersburg, Russia

    Dmitry Mouromtsev

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Rakhmawati, N.A., Umbrich, J., Karnstedt, M., Hasnain, A., Hausenblas, M. (2013). A Comparison of Federation over SPARQL Endpoints Frameworks. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and the Semantic Web. KESW 2013. Communications in Computer and Information Science, vol 394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41360-5_11

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  • DOI: https://doi.org/10.1007/978-3-642-41360-5_11

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